Validation of Land Cover Products Using Reliability Evaluation Methods

Validation of land cover products is a fundamental task prior to data applications. Current validation schemes and methods are, however, suited only for assessing classification accuracy and disregard the reliability of land cover products. The reliability evaluation of land cover products should be...

Full description

Bibliographic Details
Main Authors: Wenzhong Shi, Xiaokang Zhang, Ming Hao, Pan Shao, Liping Cai, Xuzhe Lyu
Format: Article
Language:English
Published: MDPI AG 2015-06-01
Series:Remote Sensing
Subjects:
Online Access:http://www.mdpi.com/2072-4292/7/6/7846
_version_ 1798031116263751680
author Wenzhong Shi
Xiaokang Zhang
Ming Hao
Pan Shao
Liping Cai
Xuzhe Lyu
author_facet Wenzhong Shi
Xiaokang Zhang
Ming Hao
Pan Shao
Liping Cai
Xuzhe Lyu
author_sort Wenzhong Shi
collection DOAJ
description Validation of land cover products is a fundamental task prior to data applications. Current validation schemes and methods are, however, suited only for assessing classification accuracy and disregard the reliability of land cover products. The reliability evaluation of land cover products should be undertaken to provide reliable land cover information. In addition, the lack of high-quality reference data often constrains validation and affects the reliability results of land cover products. This study proposes a validation schema to evaluate the reliability of land cover products, including two methods, namely, result reliability evaluation and process reliability evaluation. Result reliability evaluation computes the reliability of land cover products using seven reliability indicators. Process reliability evaluation analyzes the reliability propagation in the data production process to obtain the reliability of land cover products. Fuzzy fault tree analysis is introduced and improved in the reliability analysis of a data production process. Research results show that the proposed reliability evaluation scheme is reasonable and can be applied to validate land cover products. Through the analysis of the seven indicators of result reliability evaluation, more information on land cover can be obtained for strategic decision-making and planning, compared with traditional accuracy assessment methods. Process reliability evaluation without the need for reference data can facilitate the validation and reflect the change trends of reliabilities to some extent.
first_indexed 2024-04-11T19:52:15Z
format Article
id doaj.art-1c20b191a6df4570b9aa997aeec32cbe
institution Directory Open Access Journal
issn 2072-4292
language English
last_indexed 2024-04-11T19:52:15Z
publishDate 2015-06-01
publisher MDPI AG
record_format Article
series Remote Sensing
spelling doaj.art-1c20b191a6df4570b9aa997aeec32cbe2022-12-22T04:06:16ZengMDPI AGRemote Sensing2072-42922015-06-01767846786410.3390/rs70607846rs70607846Validation of Land Cover Products Using Reliability Evaluation MethodsWenzhong Shi0Xiaokang Zhang1Ming Hao2Pan Shao3Liping Cai4Xuzhe Lyu5Joint Research Laboratory on Spatial Information, The Hong Kong Polytechnic University and Wuhan University, Hong Kong and Wuhan 430079, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaSchool of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, ChinaSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, ChinaValidation of land cover products is a fundamental task prior to data applications. Current validation schemes and methods are, however, suited only for assessing classification accuracy and disregard the reliability of land cover products. The reliability evaluation of land cover products should be undertaken to provide reliable land cover information. In addition, the lack of high-quality reference data often constrains validation and affects the reliability results of land cover products. This study proposes a validation schema to evaluate the reliability of land cover products, including two methods, namely, result reliability evaluation and process reliability evaluation. Result reliability evaluation computes the reliability of land cover products using seven reliability indicators. Process reliability evaluation analyzes the reliability propagation in the data production process to obtain the reliability of land cover products. Fuzzy fault tree analysis is introduced and improved in the reliability analysis of a data production process. Research results show that the proposed reliability evaluation scheme is reasonable and can be applied to validate land cover products. Through the analysis of the seven indicators of result reliability evaluation, more information on land cover can be obtained for strategic decision-making and planning, compared with traditional accuracy assessment methods. Process reliability evaluation without the need for reference data can facilitate the validation and reflect the change trends of reliabilities to some extent.http://www.mdpi.com/2072-4292/7/6/7846land covervalidationreliability evaluationfuzzy fault tree
spellingShingle Wenzhong Shi
Xiaokang Zhang
Ming Hao
Pan Shao
Liping Cai
Xuzhe Lyu
Validation of Land Cover Products Using Reliability Evaluation Methods
Remote Sensing
land cover
validation
reliability evaluation
fuzzy fault tree
title Validation of Land Cover Products Using Reliability Evaluation Methods
title_full Validation of Land Cover Products Using Reliability Evaluation Methods
title_fullStr Validation of Land Cover Products Using Reliability Evaluation Methods
title_full_unstemmed Validation of Land Cover Products Using Reliability Evaluation Methods
title_short Validation of Land Cover Products Using Reliability Evaluation Methods
title_sort validation of land cover products using reliability evaluation methods
topic land cover
validation
reliability evaluation
fuzzy fault tree
url http://www.mdpi.com/2072-4292/7/6/7846
work_keys_str_mv AT wenzhongshi validationoflandcoverproductsusingreliabilityevaluationmethods
AT xiaokangzhang validationoflandcoverproductsusingreliabilityevaluationmethods
AT minghao validationoflandcoverproductsusingreliabilityevaluationmethods
AT panshao validationoflandcoverproductsusingreliabilityevaluationmethods
AT lipingcai validationoflandcoverproductsusingreliabilityevaluationmethods
AT xuzhelyu validationoflandcoverproductsusingreliabilityevaluationmethods